CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

An Efficient Non-blind Watermarking Scheme for Color Images using Discrete Wavelet Transformation

by Nagaraj V. Dharwadkar, B. B. Amberker
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 3
Year of Publication: 2010
Authors: Nagaraj V. Dharwadkar, B. B. Amberker
10.5120/641-897

Nagaraj V. Dharwadkar, B. B. Amberker . An Efficient Non-blind Watermarking Scheme for Color Images using Discrete Wavelet Transformation. International Journal of Computer Applications. 2, 3 ( May 2010), 60-66. DOI=10.5120/641-897

@article{ 10.5120/641-897,
author = { Nagaraj V. Dharwadkar, B. B. Amberker },
title = { An Efficient Non-blind Watermarking Scheme for Color Images using Discrete Wavelet Transformation },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 3 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 60-66 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number3/641-897/ },
doi = { 10.5120/641-897 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:56.149893+05:30
%A Nagaraj V. Dharwadkar
%A B. B. Amberker
%T An Efficient Non-blind Watermarking Scheme for Color Images using Discrete Wavelet Transformation
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 3
%P 60-66
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present a new invisible robust non blind watermarking scheme. The proposed scheme embeds the monochrome (logo) watermark into the high and middle {HL, LH, HH} frequency bands of luminance channel of the color image. The Red (R), Green (G) and Blue (B) channels of color image are transformed into Luminance (Y), Intensity (I) and Hue (Q) Channels, the Luminance channel of color image is decomposed using Discrete Wavelet Transformation (DWT), then the high and middle frequency components of this Luminance are used to embed the watermark. To increase the detection speed and efficiency of algorithm, the location of modified high and middle frequency components are stored into key array. Use of this key array improves the speed of the extraction algorithm. The experimental results show that the watermark is robust against different types of attacks like image cropping, image filtering, image Compression and Image transformations. Further, the results show that the performance of our scheme is superior to other similar techniques.

References
  1. A. Piva, F. Bartolini, and M. Barni, “Managing copyright in open networks”. IEEE Internet Computing, Vol. 6, Issue 3, pp: 18 -26, May-June 2002.
  2. Chun-Shien Lu, Hong-Yuan, and Mark Liao, “Multipurpose Watermarking for Image Authentication and Protection”. IEEE Transactions on Image Processing, Vol. 10, Issue 10, pp: 1579 –1592, Oct 2001.
  3. Joo Lee and Sung-Hwan Jung, “A survey of watermarking techniques applied to multimedia”. Proceedings 2001, IEEE International Symposium on Industrial Electronics (ISIE2001), Vol. 1, pp. 272 -277, 2001.
  4. I. J. Cox, M. L. Miller, and J. A. Bloom, “Digital Watermarking”, Morgan Kaufmann Publishers, 2002.
  5. R. G. Schyndel, A. Tirkel, and C. Osborne, “A Digital Watermark,” Proceedings of 1994 International Conference on Image Processing (ICIP 1994), Austin, Texas, November 13-16, pp. 86-90, 1994.
  6. C.T. Hsu. and J:L. Wu, “Hidden digital watermarking in images.” IEEE Transaction on Image Processing, Vol. 8, No. 1, pp. 58-68, Jan. 1999.
  7. M. Barni, E Bartolini, V. Cappellini, and A. Piva, “A DCT- domain system for robust image watermarking,” Signal Processing Vol. 66, No. 3, pp. 357-372, May 1998.
  8. C. T. Hsu. and 1. L.Wu, “DCT-based watermarking for video,” IEEE Transactions on consumers electronics, Vol. 44, No.1 , pp. 206-216, Feb. 1998.
  9. S. Saha, and R. Vcmuri, “How do image statistics impact lossy coding Performance?” Information Technology, pp. 42-47, 2000.
  10. P,-L. Lin,” Robust transparent image watermarking system with spatial mechanisms”,The Journal of Systems and Software, pp.107-116. 2000.
  11. J. J. K. O’Ruanaidh, W. J. Dowling, and E M. Boland, “Phase watermarking of digital images,” Proceedings of IEEE International conference on Image Processing, Vol. 3, pp. 239-242, Sep. 1996.
  12. Ersin Elbasi and Ahmet M. Eskicioglu, “ A DWT-Based Robust Semi-Blind image Watermarking Algorithm Using Two bands” Proc. SPIE, Vol. 6072, 2006.
  13. Chiou-Ting Hsu and Ja-Ling Wu, “Hidden Digital watermarks in Images” IEEE Transactions on Image Processing, Vol. 8, no. 1, January 1999.
  14. Peter Meerwald and Andreas Uhl, “A Survey of Wavelet-domain Watermarking Algorithms”, Security and Watermarking of Multimedia Contents III, Proceedings SPIE Vol. 4314, pp. 505-516. January 20 - 26, 2001
  15. Ersin Elbasi and Ahmet M. Eskicioglu ,“Robust DWT Based MPEG-1 Watermarking in Four Bands” The Second Secure Knowledge Management Workshop (SKM), New York City, NY, September 28-29, 2006.
  16. Suhad Hajjara, Moussa Abdallah, Amjad Hudaib, “Digital Image Watermarking Using Localized Biorthogonal Wavelets” European Journal of Scientific Research, ISSN 1450-216X Vol.26 No.4, pp.594-608, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Watermarking DWT DRM Copy Right Protection RGB YIQ

Powered by PhDFocusTM